Research On The Dissemination Mechanism Of Popular Science Information Based On Online Time-varying Network

With the continuous improvement and development of science popularization in China and the rapid popularization of new technology and new media,new requirements have been put forward for the dissemination of science popularization information in China.With the gradual acceleration of the informationization process,the dissemination of popular science information has not only depended on the organization of offline activities and scientific publicity.The broad audience can directly obtain popular science information and scientific knowledge online through the network,and spread and spread to the people around them.At the same time,it is very important to create a good environment for the dissemination of popular science information,and the evaluation of the dissemination ability of popular science information at key nodes is also an indispensable link.Therefore,it is necessary to conduct an in-depth study on the dissemination mechanism of popular science information.This paper aims to explore the communication mechanism of online popular science information from the macro and micro levels through information communication model,comprehensive evaluation model and related theories,so as to provide support for the analysis of popular science information communication strategy.First of all,with online information dissemination influence factors as the breakthrough point to build science information communication model,from the user's trust relationship with the user active force two angles study science information dissemination process,and then to online core nodes in a network of popular science research information transmission capacity,We Chat public number,for example to build the entropy weight comprehensive evaluation model and evaluation of cloud,Finally,some countermeasures are put forward to the dissemination of popular science information.The research work of this paper mainly includes the following aspects:(1)Starting from the two factors of user trust relationship and user activity,an online popular science information transmission model is built and a simulation experiment is conducted.First of all,based on the time-varying characteristics of user interaction behavior,according to the relevant theories of information communication and considering the characteristics of online popular science information communication,an online popular science information communication model is constructed.Secondly,the influence of trust relationship and user activity on communicators,lurkers and susceptible persons is explored through simulation experiments.Four types of blind areas of popular science information communication are further summarized and different measures are taken to eliminate the blind areas according to different types of blind areas.It is found that the proportion of blind areas of users with low active power is not necessarily high and the change of trust relationship has different degrees of influence on the blind areas of various kinds of popular science information.(2)Evaluate the ability of online popular science information dissemination of We Chat official account.First of all,according to the characteristics of the popular science We Chat official account,an evaluation index system of popular science information communication ability is constructed,which includes 3 criteria layer indexes,6 index layer indexes and 28 measure layer indexes.Then,according to the obtained data,the entropy weight method is used to determine the index weight of each layer,and the cloud model related theories are used to construct a comprehensive weighted evaluation cloud model.Finally,the evaluation indicators are quantified,and four different types of popular science We Chat public accounts are taken as the research objects to carry out empirical analysis.Aiming at the indicators affecting popular science information dissemination and combining with the reality of the related fields of popular science information dissemination,reasonable suggestions are put forward for the operation of popular science information on various platforms.(3)Research on coping strategies of online popular science information communication.The analysis is mainly carried out from the aspects of enhancing the trust relationship in the communication network of popular science information,increasing the number of active users,strengthening the publicity and organization of popular science,broadening the user interaction channels,and diversifying the forms of communication,so as to further enrich the research on the communication mechanism of popular science information.